Ultra low power sensing

Our inspiration came from the natural world, specifically the behavior of ants. By studying an ant colony, we discovered a unique distributed self-healing mechanism that allows for the efficient finding of the shortest path between two points. This mechanism is distinct because it stores data about the network in the environment, rather than in traditional node tables.

The challenge was to create a self-healing network that consumes ultra-low power, particularly for Bluetooth Low Energy (BLE) devices. Existing solutions were either limited in network topology or lacked the ability to connect devices to the Internet on a large scale without compromising power efficiency.

Our solution, Namla Tech, is inspired by ant swarm behavior. It eliminates the need for table-based routing, instead of distributing network information among the nodes. This approach ensures that the network remains robust even if individual nodes fail. The routing information is stored efficiently, with detailed information about neighboring nodes and minimal information about distant ones. This method prevents data size from ballooning with network expansion.